- Learning Outlier Ensembles: The Best of Both Worlds Supervised and Unsupervised... Combination of unsupervised and supervised techniques for credit card fraud detection; Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, and Gianluca Bontempi; (to be submitted);

- Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization; Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, and Gianluca Bontempi; International Journal of Data Science and Analytics (Accepted);

- An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection; Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, and Gianluca Bontempi; DSAA 2017 - The 4th IEEE International Conference on Data Science and Advanced Analytics, Tokyo 19-21 Oct 2017;

- SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark; Carcillo, F., Dal Pozzolo, A., Le Borgne, Y. A., Caelen, O., Mazzer, Y., & Bontempi, G.; Information fusion (2017); https://arxiv.org/abs/1709.08920

- Determinants of community structure in the global plankton interactome; Gipsi Lima-Mendez, Karoline Faust, Nicolas Henry, JohanDecelle, Sébastien Colin, Fabrizio Carcillo et al.; Science (2015), 348(6237), May 2015;